docstr: Initializes the network.
  :param trainable: flag to determine if this network should be trainable or not.
docstr_tok: ["Initializes","the","network",".",":","param","trainable",":","flag","to","determine","if","this","network","should","be","trainable","or","not","."]
code: def __init__(self, session, trainable: bool = True):
      """
      Initializes the network.
      :param trainable: flag to determine if this network should be trainable or not.
      """
      self._session = session
      self.__trainable = trainable
      self.__layers = {}
      self.__last_layer_name = None
  
      with tf.compat.v1.variable_scope(self.__class__.__name__.lower()):
          self._config()
  
file_path: mtcnn/mtcnn/network.py
imports: import tensorflow
label_desc: Use image node_id 1 to create a new Network object from inherited base classes: object with example: obj = Network(session, trainable)